AI Engineer, Entry Level

Qualifications

• Bachelor’s or Master’s degree in CS, Data Science, AI/ML, Statistics, or related field
• Strong Python foundation
• Familiarity with ML basics (supervised/unsupervised learning, evaluation metrics)
• Experience with common libraries (NumPy, pandas, scikit-learn)
• Clear communication and curiosity
• Nice to have
• Exposure to deep learning (PyTorch or TensorFlow)
• Understanding of model deployment (FastAPI/Flask, Docker)
• Cloud fundamentals (AWS/GCP/Azure) and basic MLOps concepts

Responsibilities

• You will work with structured and unstructured data, train and evaluate models, and help integrate AI into real applications
• Support development of AI models for classification, recommendation, forecasting, or NLP tasks
• Prepare datasets, perform feature engineering, and run experiments
• Evaluate model performance and help improve accuracy, latency, and robustness
• Assist with deploying models into production environments (APIs, batch jobs, pipelines)
• Collaborate with software engineers, data engineers, and product teams

Full Description

Job description

About the role

We are hiring an Entry Level AI Engineer to help build and deploy practical AI solutions.

You will work with structured and unstructured data, train and evaluate models, and help integrate AI into real applications.

What you will do

• Support development of AI models for classification, recommendation, forecasting, or NLP tasks

• Prepare datasets, perform feature engineering, and run experiments

• Evaluate model performance and help improve accuracy, latency, and robustness

• Assist with deploying models into production environments (APIs, batch jobs, pipelines)

• Collaborate with software engineers, data engineers, and product teams

What you are looking for

• Bachelor’s or Master’s degree in CS, Data Science, AI/ML, Statistics, or related field

• Strong Python foundation

• Familiarity with ML basics (supervised/unsupervised learning, evaluation metrics)

• Experience with common libraries (NumPy, pandas, scikit-learn)

• Clear communication and curiosity

Nice to have

• Exposure to deep learning (PyTorch or TensorFlow)

• Understanding of model deployment (FastAPI/Flask, Docker)

• Cloud fundamentals (AWS/GCP/Azure) and basic MLOps concepts